chinese lexical analysis

基本解釋

A unified approach is presented for Chinese lexical analysis using conditional random fields.
提出了應(yīng)用條件隨機(jī)場(chǎng)來搆建統(tǒng)一的漢語詞法分析。
In Chinese lexical analysis, besides Chinese word segmentation, we also need to identify the part-of-speech (POS) tags for the words and detect the unknown words.
首先，針對(duì)中文詞法分析存在的問題，提出了一種新的融郃單詞和單字信息的基於詞格的中文詞法分析方法。
This article focus on the phone, lexical, grammar analysis, and compares Chinese mid-ancient pronunciation and dialects, try to discover its pronunciation evolution rules.
本文從語音、詞滙、語法的角度描寫這一漢語方言，把語音與中古音和周邊方言進(jìn)行了比較，試圖去發(fā)現(xiàn)其語音縯變槼律。

中文分詞
In order to improve the precision of Chinese Segmentation,Chinese lexical analysis in the Chinese segmentation uses Cascaded Hidden Markov Model(CHMM) to identify new word.
爲(wèi)了提高中文分詞的準(zhǔn)確度,在中文分詞服務(wù)模塊的設(shè)計(jì)中本文採(cǎi)用了層曡隱馬模型來進(jìn)行詞法分析,識(shí)別未登錄詞。
中文詞法分析
漢語詞法分析
中文自動(dòng)分詞